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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,317 ratings

About the Course

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

AG

Jan 12, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

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726 - 750 of 5,613 Reviews for Convolutional Neural Networks

By Neeraj N

Mar 24, 2018

Could be a bit better in letting the students implement the algorithms than just coding up the helper functions. (ask us to code the algo then import the pre trained weights to predict).

By Jay R

Feb 6, 2018

Andrew properly explains the working and fundamentals behind CNNs, this would help the implementation of CNNs, as there are more logic errors than syntatic error while implementing CNNs.

By Nishant M

Nov 21, 2017

As always Andrew Ng have cleared all the topics in so easy language that there is chance of any doubt. but programming assignment have many bugs. hope coursera team will solve this soon.

By Francisco J M O

Jan 8, 2021

It's the hardest course so far but it's also the one in which i've learned more! The programming exercises are awesome and give u good hands on experience to implement your own models.

By Prasenjit K

Jun 15, 2020

never thought that my concepts would become so crystal clear. a big big thanks to cousera and Andrew ng sir for this course . i enjoyed and never felt that I was in a class or something

By Alejandro A

Apr 1, 2018

I'm so happy because I've learnt a lot. Previously I've seen on the internet lots of graphics and explanations of the Convolutional NNs, but here, I got to understand why they are used.

By Dipesh K

Jul 12, 2022

The programming really guides us on how to approach a problem from end to end. It also serves as a playground to understand what effect changing a hyperparameter can have on the image.

By Mike O

Apr 29, 2019

The content and lecture videos are outstanding. Some of the programming assignment notebooks are buggy. Please devote resources to resolving these issues, especially for a paid course.

By David T

Jun 6, 2018

Very well design for people with a full time job and kids! This course makes it quite easy to get some understanding of fairly advanced concepts in computer vision and get you started.

By Andriyanto H

Mar 28, 2018

A highly recommended course for someone who would like to kickstart their learning on Computer Vision and Convolutional Neural Networks. Another best course conducted by Prof Andrew Ng

By Parveen B

Nov 4, 2020

It was a good experience with CNNs. The course is well explained and assignments are beautifully arranged to apply whatever is learnt. Thanks a lot for making such a beautiful course.

By Huy N

Jul 20, 2020

Convolutional Neural Networks course gave me a fundamental knowledge of this algorithm concepts and illustrated several great applications of it in real life such as Face Recognition.

By Rehan S

Sep 24, 2019

Very comprehensive course. Everyone those who interested in image processing must complete this course. Andrew Ng straightforwardly teaches technical points. Beginner-friendly course.

By Yong H P

Jul 25, 2018

I think I already know much about CNN. But, it's not. I found the practice materials are really great and fun.

이전에 잘못 알고 있었거나 잘 이해하지 못했던 내용들을 강의와 연습 문제들을 풀면서 쉽고 재미있게 이해 할 수 있었던 코스 입니다.

By Fer N

May 15, 2018

This course has been an eye opener to the power of DL technology. More importantly, it's amazing how the instructors can make such complex material accessible to the broader audience.

By Erfan K

Jun 17, 2022

The topics of this course were arranged in a very principled way and very practical contents were stated and very interesting exercises were designed. Thank you very much Mr. Andrew.

By DANG M K

Apr 17, 2020

This course gives a lot of knowledge related to object detection algorithm. Thank you so much for give me this course and I am looking forward to hearing advance course in the future

By Satyam D

Feb 7, 2019

Excellent course on CNNs from Prof. Andrew Ng and his team at deeplearning.ai. Thanks a lot for the exposure on various applications of CNNs that can really make a big difference !!!

By Nitin N

Mar 28, 2018

Excellent course. The way Prof. Andrew Ng explains even the complex terms seems so easy to understand. Hope to see video lectures for another type of deep neural networks e.g. GAN's.

By Michael M

Nov 22, 2017

Nicely done course. I really appreciate all the students and mentors who helped me understand what was happening. So many times I had to refer to the discussions to get over a hump.

By Adrian G

Jul 14, 2020

Great course, as always with deeplearning.ai.

One thing I miss and that I would really appreciate would be a deeper explanation about the construction of functions in utils.py files

By Palash T

May 19, 2020

There are many lectures available on computer vision but this lecture by Andrew Neg is best among them all. It gives you all the core knowledge from mathematics behind CNN to codes.

By John T S

Apr 13, 2020

The interest of the narrator is weirdly fascinating. I watch these like episodes of '24'. Or like I used to watch episodes of '24', long ago, in another epoch, with other concerns.

By Deleted A

Jun 4, 2018

More challenging in certain respects (namely, by the nature of convnets themselves and tensorflow and keras for implementation), but lots of informative and exceptional instruction.

By Samarth V K

Dec 30, 2020

Getting to implement some very State Of The Art Neural Network Applications was very very Helpful. The concepts were explained very well.

Thank You DeepLearning.AI, and Andrew Sir.